NL-Amsterdam: BEPCOL

NOTE: Results presented here are highly dependent on how models are configured in this experiment and may be subject to variable output formatting errors. Results are not intended to indicate the quality of any individual model, but to help participants better understand and improve modelling approaches in different urban environments.

Submitted metadata

• Baseline
• Detailed

Error metrics

flux	experiment	MAE	MBE	nSD	R	5th	95th	RMSE	cRMSE	AMBE	1-nSD	1-R	nSkewness	nKurtosis	Overlap
SWup	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
SWup	detailed	3.01702	-0.675946	0.928608	0.987428	0.571333	4.51133	4.25065	0.16866	0.675946	0.0713919	0.0125722	0.0347753	0.00488195	0.0755121
LWup	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
LWup	detailed	54.9444	-54.9444	0.788048	0.972857	43.1828	67.1945	56.1485	0.296147	54.9444	0.211953	0.0271427	0.162799	0.136709	0.593029
Qle	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
Qle	detailed	29.4741	-27.2521	0.455727	0.422268	16.4496	62.996	41.915	0.907088	27.2521	0.544273	0.577732	0.342933	0.45004	0.519399
Qh	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
Qh	detailed	67.5067	62.1862	1.13983	0.838278	36.2631	101.643	85.0762	0.623076	62.1862	0.139832	0.161722	0.483575	0.718205	0.337855
Qtau	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
Qtau	detailed	0.350199	0.224735	0.602728	0.779981	0.31715	0.26689	0.454221	0.650422	0.224735	0.397271	0.220019	0.589598	0.89585	0.426772

• MAE: mean absolute error (close to 0 is better)
• MBE: mean bias error (close to 0 is better)
• NSD: ratio of model to obs standard deviation (close to 1 is better)
• R: Pearson’s correlation (close to 1 is better)
• all others: closer to 0 is better

Link to variable definitions

subset_SWup_v0-9

out of range: baseline

out of range: detailed

Link to variable definitions